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cff-version: 1.2.0
message: 'To cite package "discoCVI" in publications use:'
type: software
license: MIT
title: 'discoCVI: Implementation of the DISCO Metric for Internal Clustering Evaluation'
version: 0.1.1
doi: 10.32614/CRAN.package.discoCVI
abstract: Implementation of the DISCO (Density-based Internal Score for Clusterings
  with nOise) metric, a cluster validity index for evaluating density-based clustering
  results without ground truth labels. DISCO is the first index to explicitly assess
  the quality of noise point assignments in addition to cluster quality. It uses density-connectivity
  distance derived from a minimum spanning tree of the mutual-reachability graph,
  providing interpretable, bounded scores in [-1, 1]. Higher scores indicate better
  clustering. Based on Beer et al. (2025) <https://doi.org/10.48550/arXiv.2503.00127>.
authors:
- family-names: Entezari
  given-names: Amin
  email: amin_entezari@outlook.com
  orcid: https://orcid.org/0009-0005-4733-6032
- family-names: Beer
  given-names: Anna
- family-names: Krieger
  given-names: Lena
- family-names: Weber
  given-names: Pascal
repository: https://aminentezari.r-universe.dev
repository-code: https://github.com/aminentezari/discoCVI
commit: 15fbcba17e88c01a182ec14fe00535cebabf9b49
url: https://github.com/aminentezari/discoCVI
date-released: '2026-05-02'
contact:
- family-names: Entezari
  given-names: Amin
  email: amin_entezari@outlook.com
  orcid: https://orcid.org/0009-0005-4733-6032